Curated Video
Standard Deviation and Variance
It explains how standard deviation and variance can overcome the limitations of mean deviation and demonstrates their computation for ungrouped and grouped data.
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Data Science and Machine Learning (Theory and Projects) A to Z - Expectations: Variance
In this video, we will cover variance. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Practical Data Science using Python - Principal Component Analysis - Computations 1
This video explains Principal Component Analysis – computations. This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality reduction using...
Packt
Practical Data Science using Python - Naive Bayes Probability Computation
This video explains Naive Bayes probability computation. This clip is from the chapter "Naive Bayes Probability Model" of the series "Practical Data Science Using Python".This section explains Naive Bayes probability model – introduction.
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Practical Data Science using Python - K-Means Clustering Computation
This video explains K-Means clustering computation. This clip is from the chapter "Unsupervised Learning - K-Means Clustering" of the series "Practical Data Science Using Python".This section explains unsupervised learning - K-Means...
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Practical Data Science using Python - Principal Component Analysis - Computations 2
This video explains Eigenvalues and Eigenvectors. This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality reduction using PCA.
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pandas for Python - A Quick Guide - Processing Numerical Data for Pandas
In this video, you will learn about the various powerful tools available for numerical and statistical analysis on Pandas. We will look at the described () method, minimum and maximum values, and obtain the mean, median, variance, and...
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Data Science and Machine Learning (Theory and Projects) A to Z - Object Detection: Shift Scale Rotation Invariance
In this video, we will cover shift scale rotation invariance. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Practical Data Science using Python - Logistic Regression - Model Optimization 2
This video demonstrates how to predict the level by taking 0.3 as the optimum threshold. This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.
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Practical Data Science using Python - History of Machine Learning
This video explains the history of machine learning. This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.
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Practical Data Science using Python - Central Limit Theorem
This video explains the Central Limit Theorem. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business applications.
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Practical Data Science using Python - Machine Learning Terminology
This video explains machine learning terminology. This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.